A peer to peer large data parallel computing system and its application in high-resolution video processing

Yanru Chen; Guowei Chen; Mitsuji Matsumoto

doi:10.1109/DASC.2009.125

A peer to peer large data parallel computing system and its application in high-resolution video processing

Yanru Chen^*, Guowei Chen, Mitsuji Matsumoto

^*この研究の対応する著者

早稲田大学

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Motivated by the requirement of processing large data high-resolution videos, a research on peer to peer (P2P) large data parallel computing is made. The proposed P2P system is unstructured, completely self-organized and load balanced, which make it very efficient in computing any kinds of dividable large data tasks. The system models and algorithms are described, and simulation results show that the proposed system has better performance than an existing grid system.

本文言語	English
ホスト出版物のタイトル	8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009
ページ	448-451
ページ数	4
DOI	https://doi.org/10.1109/DASC.2009.125
出版ステータス	Published - 2009
イベント	8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009 - Chengdu 継続期間: 2009 12 12 → 2009 12 14

Other

Other	8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009
City	Chengdu
Period	09/12/12 → 09/12/14

ASJC Scopus subject areas

コンピュータサイエンスの応用
ソフトウェア

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10.1109/DASC.2009.125

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Chen, Y, Chen, G & Matsumoto, M 2009, A peer to peer large data parallel computing system and its application in high-resolution video processing. in 8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009., 5380441, pp. 448-451, 8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009, Chengdu, 09/12/12. https://doi.org/10.1109/DASC.2009.125

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AB - Motivated by the requirement of processing large data high-resolution videos, a research on peer to peer (P2P) large data parallel computing is made. The proposed P2P system is unstructured, completely self-organized and load balanced, which make it very efficient in computing any kinds of dividable large data tasks. The system models and algorithms are described, and simulation results show that the proposed system has better performance than an existing grid system.

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ER -

A peer to peer large data parallel computing system and its application in high-resolution video processing

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